Using ultrasound to derive new reproductive traits in tropical beef breeds: Implications for genetic evaluation
journal contribution
posted on 2019-10-01, 00:00 authored by Nicholas Corbet, JM Allen, AR Laing, G Fordyce, MR McGowan, BM BurnsKey components of female fertility in tropically adapted beef breeds are age at puberty and interval from calving to conception. Presence of an ovarian corpus luteum or stage of pregnancy were recorded using trans-rectal ultrasonography in 4649 heifers and 2925 first-lactation cows in seven herds of either Brahman, Droughtmaster or Santa Gertrudis tropical beef cattle breeds in northern Australia. The traits derived from a single ultrasonographic examination were incidence of corpus luteum at ∼600 days of age in heifers, and weeks pregnant 5 weeks post-mating in heifers at ∼2.5 years of age and in first-lactation cows at either 2.5 or 3.5 years of age. At 600 days of age, the bodyweight of heifers averaged 340 kg and 40% had a corpus luteum. At 2.5 years of age bodyweight of heifers averaged 452 kg and 80% were pregnant. First-lactation cows averaged 473 kg and 64% were pregnant. Considerable between-herd variation in traits reflected differences in climate and management at each site. However, estimates of heritability of incidence of corpus luteum at 600 days (0.18-0.32) and weeks pregnant in lactating cows (0.11-0.20) suggested that a significant proportion of the variation was due to additive gene action. Small to moderate genetic correlations with other economically important traits and the range in estimated breeding values indicate substantial opportunity for genetic improvement of the traits. The study provided evidence to accept the hypothesis that strategically timed ultrasound examinations can be adopted to derive useful traits for genetic evaluation. © CSIRO.
Funding
Category 3 - Industry and Other Research Income
History
Volume
58Issue
9Start Page
1735End Page
1742Number of Pages
8eISSN
1836-5787ISSN
1836-0939Publisher
CSIROPublisher DOI
Full Text URL
Peer Reviewed
- Yes
Open Access
- No
Acceptance Date
2017-02-11External Author Affiliations
University of Queensland; University of New England; Department of Agriculture and Fisheries, QldEra Eligible
- Yes
Journal
Animal Production ScienceUsage metrics
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